Building on earlier pioneering work by researchers at the University of California, San Diego, an international consortium of university researchers has produced the most comprehensive virtual reconstruction of human metabolism to date. Scientists could use the model, known as Recon 2, to identify causes of and new treatments for diseases like cancer, diabetes and even psychiatric and neurodegenerative disorders. Each person's metabolism, which represents the conversion of food sources into energy and the assembly of molecules, is determined by genetics, environment and nutrition.
The researchers presented Recon 2 in a paper published online March 3 in the journal Nature Biotechnology.
Doctors have long recognized the importance of metabolic imbalances as an underlying cause of disease, but scientists have been ramping up their research on the connection as a result of compelling evidence enabled by the Human Genome Project and advances in systems biology, which leverages the power of high-powered computing to build vast interactive databases of biological information.
"Recon 2 allows biomedical researchers to study the human metabolic network with more precision than was ever previously possible. This is essential to understanding where and how specific metabolic pathways go off track to create disease," said Bernhard Palsson, Galletti Professor of Bioengineering at UC San Diego Jacobs School of Engineering.
"It's like having the coordinates of all the cars in town, but no street map. Without this tool, we don't know why people are moving the way they are," said Palsson.
He likened Recon 2 to Google mapping for its ability to merge complex details into a single, interactive map. For example, researchers looking at how metabolism sets the stage for cancerous tumor growth could zoom in on the "map" for finely detailed images of individual metabolic reactions or zoom out to look at patterns and relationships
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| Contact: Catherine Hockmuth chockmuth@ucsd.edu 858-822-1359 University of California - San Diego Source:Eurekalert |
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